/Engine/Plugins/Animation/MLDeformer/VertexDeltaModel/Source/VertexDeltaModel/Public/VertexDeltaModel.h
The vertex delta model, which uses a GPU based neural network. This model acts more as an example of how to implement a model that only uses the GPU. It is not as efficient as the Neural Morph Model, even though that model runs on the CPU. Unlike the Neural Morph Model this Vertex Delta Model does not generate any morph targets. All the vertex deltas are directly output by the neural network. This buffer of output deltas remains on the GPU and is then used as input buffer directly inside an optimus deformer graph.
[UCLASS](Programming/UnrealArchitecture/Reference/Classes#classdeclaration)() class UVertexDeltaModel : public [UMLDeformerGeomCacheModel](API\Plugins\MLDeformerFramework\UMLDeformerGeomCacheModel)
int32
BatchSize
The number of frames per batch when training the model.
float
LearningRate
The learning rate used during the model training.
TObjectPtr<UNN...
NNEModel
The NNE neural network model.
int32
NumHiddenLayers
The number of hidden layers that the neural network model will have.
int32
NumIterations
The number of iterations to train the model for.
int32
NumNeuronsPerLayer
The number of units/neurons per hidden layer.